AI and Data Governance Senior Manager

Job Description

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you’re starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you’ll love from top to bottom – we give you the tools you need to succeed and the autonomy to reach your goals.  

We are seeking an AI and Data Governance Senior Manager who will be responsible for establishing, implementing, and maintaining comprehensive governance frameworks across EisnerAmper's AI transformation initiative. This is a highly strategic role where you will be operating from the EisnerAI Experience Center, this role ensures responsible AI deployment, acceptable data use across the entire AI development lifecycle, and compliance with regulatory requirements. The position serves as the primary liaison between senior executives and technical teams, translating governance requirements into actionable policies while maintaining the firm's commitment to ethical AI practices and professional standards.

What it Means to Work for EisnerAmper:

• You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry

• You will have the flexibility to manage your days in support of our commitment to work/life balance

• You will join a culture that has received multiple top “Places to Work” awards

  • We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions

  • We understand that embracing our differences is what unites us as a team and strengthens our foundation

  • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

What Work You Will be Responsible For: 

• Lead AI Governance Strategy: Drive firm-wide adoption of the NIST AI Risk Management Framework and develop strategic roadmaps for AI governance maturity.

• Policy & Risk Management: Create and enforce AI/data governance policies, conduct lifecycle risk assessments, and oversee incident response for AI systems.

• Regulatory Compliance & Privacy: Ensure alignment with regulations (GDPR, CCPA, etc.) and implement data privacy, classification, and acceptable use frameworks.

•  Data Quality & Technical Controls: Establish data quality standards and technical controls (DLP, access, audit logging) to ensure reliable and secure AI operations.

•  Azure & Data Catalog Oversight: Administer Azure Purview and maintain comprehensive data catalogs with governance metadata and lineage tracking.

• Executive Advisory & Reporting: Advise the Chief AI Officer and executiveleadership, and deliver governance dashboards, KPIs, and compliance insights.

• Stakeholder Collaboration & Training: Lead AI governance councils and develop training programs for cross-functional teams, including Legal, Risk, and IT.

• Vendor & Audit Management: Oversee governance for AI/ML vendors, support strategic AI decisions, and coordinate internal and external governance audits.

• Best Practice Evolution: Stay current with evolving AI governance standards, regulatory requirements, and industry best practices

Basic Requirements

• Bachelor’s degree required; 7+ years of relevant experience may be considered in lieu of an advanced degree

• Master’s degree in Information Security, Data Science, Public Policy, Law, or a related field preferred

• Minimum 5 years of experience in professional services (e.g., Big 4, consulting, or a similar environment)

• At least 3 years of direct experience working with AI/ML technologies and their business applications

• Demonstrated success in leading change management and training initiatives

Preferred/ Desired Skills

• Service Line Knowledge: Deep understanding of Tax, Audit, Advisory, or Consulting workflows and pain points

• Client Relationship Management: Experience in client-facing roles with ability to articulate complex technical concepts

• Regulatory Compliance: Knowledge of professional standards (GAAP, IFRS, SOX, tax regulations)

• Industry Trends: Understanding of professional services industry challenges and opportunities

• Microsoft Azure AI: Practical experience with Azure OpenAI, Cognitive Services, and AI Foundry

• Generative AI: Hands-on experience with GPT models, prompt engineering, and fine-tuning techniques

• AI Platforms: Familiarity with enterpri